This repository contains a regression-based machine learning project for predicting flight ticket prices using Python and Scikit-Learn. It analyzes 10,682 flight booking records, focusing on feature engineering and benchmarking multiple algorithms to deploy the best model as a live prediction app.
From the README
📅✈️ Flight Fare Prediction Project 📅✈️ A regression-based machine learning project designed to predict flight ticket prices by benchmarking multiple algorithms and deploying the winning model as a live prediction app. 📌 Project Overview This project analyzes flight booking data using Python and Scikit-Learn to predict ticket prices based on airline, route, timing, and duration factors. The project contains 10,682 flight booking records covering airline, source, destination, date, time, and duration information. The analysis focuses on feature engineering, benchmarking multiple regression algorithms, and deploying the best-performing model as a working app — not stopping at a...
Skills
- Jupyter Notebook
- Python
